HP HP OmniBook Ultra Laptop 14-fd0xxx
Geekbench AI Score
2517
Single Precision Score
2542
Half Precision Score
6250
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 11:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook Ultra Laptop 14-fd0xxx |
| Motherboard | HP 8CDD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1238
230.1 IPS |
|
|
Image Classification (HP)
|
100% |
1323
246.1 IPS |
|
|
Image Classification (Q)
|
100% |
3764
700.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3428
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4387
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4440
5.18 IPS |
|
|
Pose Estimation (Q)
|
98% |
18863
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
100% |
1290
102.4 IPS |
|
|
Object Detection (Q)
|
88% |
3671
294.3 IPS |
|
|
Face Detection (SP)
|
100% |
3897
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
4165
49.5 IPS |
|
|
Face Detection (Q)
|
100% |
8057
95.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4263
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3839
29.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
9950
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10929
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11995
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
43845
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1882
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1974
72.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6687
247.6 IPS |
|
|
Text Classification (SP)
|
100% |
1343
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1376
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
1899
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2351
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2105
36.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2282
39.3 IPS |
